Optimising order selection algorithm based on online taxi-hailing applications Online publication date: Mon, 03-Sep-2018
by Tian Wang; Wenhua Wang; Yongxuan Lai; Diwen Xu; Haixing Miao; Qun Wu
International Journal of Computational Science and Engineering (IJCSE), Vol. 17, No. 1, 2018
Abstract: Nowadays, with the widespread use of smart devices and networking technologies, the application of taxi-hailing servers is becoming more and more popular in our daily life. However, the drivers' behaviour of robbing orders while driving brings great potential traffic security problems. Considering the characteristics and deficiencies of the mainstream taxi-hailing apps in smart devices, this paper studies the order selection problem from the drivers' end. According to different customers' requirement, an order autoselection algorithm is proposed. Moreover, it adopts a time buffer mechanism to avoid time conflicts among the orders, and a new concept of 'efficiency value of orders' is proposed to evaluate the profits of orders. This algorithm can auto-select orders for the driver according to their qualities, which can not only improve the safety, but also maximise the drivers' revenue. Extensive simulations validate the performance of the proposed method.
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